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Historical Presidential Betting Markets

Citations

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Cited by:

  1. Snowberg, Erik & Wolfers, Justin & Zitzewitz, Eric, 2013. "Prediction Markets for Economic Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 657-687, Elsevier.
  2. Graefe, Andreas & Armstrong, J. Scott, 2011. "Comparing face-to-face meetings, nominal groups, Delphi and prediction markets on an estimation task," International Journal of Forecasting, Elsevier, vol. 27(1), pages 183-195, January.
  3. T. Nicolaus Tideman & Florenz Plassmann, 2007. "A Pricing Mechanism for CO2 Emissions that Incorporates Future Revisions of Estimates of the Cost of Today?s Emissions," Working Papers e07-9, Virginia Polytechnic Institute and State University, Department of Economics.
  4. Tai, Chung-Ching & Lin, Hung-Wen & Chie, Bin-Tzong & Tung, Chen-Yuan, 2019. "Predicting the failures of prediction markets: A procedure of decision making using classification models," International Journal of Forecasting, Elsevier, vol. 35(1), pages 297-312.
  5. Paul J. Healy & Sera Linardi & J. Richard Lowery & John O. Ledyard, 2010. "Prediction Markets: Alternative Mechanisms for Complex Environments with Few Traders," Management Science, INFORMS, vol. 56(11), pages 1977-1996, November.
  6. Robin Hanson & Ryan Oprea, 2009. "A Manipulator Can Aid Prediction Market Accuracy," Economica, London School of Economics and Political Science, vol. 76(302), pages 304-314, April.
  7. Quinlan, Stephen & Lewis-Beck, Michael S., 2021. "Forecasting government support in Irish general elections: Opinion polls and structural models," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1654-1665.
  8. Wolfers, Justin & Zitzewitz, Eric, 2006. "Prediction Markets in Theory and Practice," CEPR Discussion Papers 5578, C.E.P.R. Discussion Papers.
  9. Romain Gauriot Author e-mail: romain.gauriot@nyu.edu & Lionel Page Author e-mail: lionel.page@uts.edu.au, 2021. "How Market Prices React to Information: Evidence from Binary Options Markets," Working Papers 20200058, New York University Abu Dhabi, Department of Social Science, revised Oct 2021.
  10. Edoardo Gaffeo, 2013. "Using information markets in grantmaking. An assessment of the issues involved and an application to Italian banking foundations," DEM Discussion Papers 2013/08, Department of Economics and Management.
  11. Armstrong, J. Scott & Graefe, Andreas, 2011. "Predicting elections from biographical information about candidates: A test of the index method," Journal of Business Research, Elsevier, vol. 64(7), pages 699-706, July.
  12. Alasdair Brown & Dooruj Rambaccussing & James Reade & Giambattista Rossi, 2016. "Using Social Media to Identify Market Inefficiencies: Evidence from Twitter and Betfair," Economics Discussion Papers em-dp2016-01, Department of Economics, University of Reading.
  13. Nina Badulina & Dmitry Shatilovich & Mikhail Zhitlukhin, 2024. "On convergence of forecasts in prediction markets," Papers 2402.16345, arXiv.org.
  14. Renaud Coulomb & Marc Sangnier, 2012. "Impacts of Political Majorities on French Firms: Electoral Promises or Friendship Connections?," PSE Working Papers halshs-00671405, HAL.
  15. J. Scott Armstrong & Kesten C. Green, 2005. "Demand Forecasting: Evidence-based Methods," Monash Econometrics and Business Statistics Working Papers 24/05, Monash University, Department of Econometrics and Business Statistics.
  16. de Boer, Jantke & Eichler, Stefan & Rövekamp, Ingmar, 2024. "Protectionism, bilateral integration, and the cross section of exchange rate returns in US presidential debates," Journal of International Money and Finance, Elsevier, vol. 147(C).
  17. Lennart Sjöberg, 2009. "Are all crowds equally wise? a comparison of political election forecasts by experts and the public," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(1), pages 1-18.
  18. Lawrence Choo & Todd R. Kaplan & Ro’i Zultan, 2022. "Manipulation and (Mis)trust in Prediction Markets," Management Science, INFORMS, vol. 68(9), pages 6716-6732, September.
  19. Thomas Ferguson & Paul Jorgensen & Jie Chen, 2018. "Industrial Structure and Party Competition in an Age of Hunger Games:Donald Trump and the 2016 Presidential Election Donald Trump and the 2016 Presidential Election," Working Papers Series 66, Institute for New Economic Thinking.
  20. Justin Wolfers & Eric Zitzewitz, 2004. "Prediction Markets," Journal of Economic Perspectives, American Economic Association, vol. 18(2), pages 107-126, Spring.
  21. Wunderlich, Fabian & Memmert, Daniel, 2020. "Are betting returns a useful measure of accuracy in (sports) forecasting?," International Journal of Forecasting, Elsevier, vol. 36(2), pages 713-722.
  22. Erik Snowberg & Justin Wolfers & Eric Zitzewitz, 2011. "How Prediction Markets can Save Event Studies," CAMA Working Papers 2011-07, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  23. St'ephane Dupraz & Daniel Muller & Lionel Page, 2013. "Tactical Voting and Voter's Sophistication in British Elections," QuBE Working Papers 011, QUT Business School.
  24. Wiesen, Taylor, 2023. "Aggregate earnings and market expectations in United States presidential election prediction markets," Advances in accounting, Elsevier, vol. 60(C).
  25. Kesten Green & J. Scott Armstrong & Andreas Graefe, 2007. "Methods to Elicit Forecasts from Groups: Delphi and Prediction Markets Compared," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 8, pages 17-20, Fall.
  26. RYan Oprea & David Porter & Chris Hibbert & Robin Hanson & Dorina Tila, 2008. "Can Manipulators Mislead Prediction Market Observers?," Working Papers 08-01, Chapman University, Economic Science Institute.
  27. Schadner, Wolfgang, 2022. "U.S. Politics from a multifractal perspective," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
  28. Urs W. Birchler & Matteo Facchinetti, 2007. "Can Bank Supervisors Rely on Market Data? A Critical Assessment from a Swiss Perspective," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 143(II), pages 95-132, June.
  29. Knight*, Brian, 2007. "Are policy platforms capitalized into equity prices? Evidence from the Bush/Gore 2000 Presidential Election," Journal of Public Economics, Elsevier, vol. 91(1-2), pages 389-409, February.
  30. Spyros Galanis & Christos A Ioannou & Stelios Kotronis, 2024. "Information Aggregation Under Ambiguity: Theory and Experimental Evidence," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(6), pages 3423-3467.
  31. Rhode, Paul W. & Snyder, Jr., James M. & Strumpf, Koleman, 2018. "The arsenal of democracy: Production and politics during WWII," Journal of Public Economics, Elsevier, vol. 166(C), pages 145-161.
  32. Elliot Tonkes & Dharma Lesmono, 2010. "Consistency in the US Congressional Popular Opinion Polls and Prediction Markets," Journal of Prediction Markets, University of Buckingham Press, vol. 4(2), pages 45-64, September.
  33. Sung, Ming-Chien & McDonald, David C.J. & Johnson, Johnnie E.V. & Tai, Chung-Ching & Cheah, Eng-Tuck, 2019. "Improving prediction market forecasts by detecting and correcting possible over-reaction to price movements," European Journal of Operational Research, Elsevier, vol. 272(1), pages 389-405.
  34. Coulomb, Renaud & Sangnier, Marc, 2014. "The impact of political majorities on firm value: Do electoral promises or friendship connections matter?," Journal of Public Economics, Elsevier, vol. 115(C), pages 158-170.
  35. Christopher Duquette & Franklin Mixon & Richard Cebula & Kamal Upadhyaya, 2014. "Prediction Markets and Election Polling: Granger Causality Tests Using InTrade and RealClearPolitics Data," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 42(4), pages 357-366, December.
  36. Graefe, Andreas & Armstrong, J. Scott & Jones, Randall J. & Cuzán, Alfred G., 2014. "Combining forecasts: An application to elections," International Journal of Forecasting, Elsevier, vol. 30(1), pages 43-54.
  37. Dorina Tila & David Porter, 2008. "Group Prediction in Information Markets With and Without Trading Information and Price Manipulation Incentives," Working Papers 08-06, Chapman University, Economic Science Institute.
  38. R. Karina Gallardo & B. Wade Brorsen & Jayson Lusk, 2010. "Prediction markets: an experimental approach to forecasting cattle on feed," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 70(3), pages 414-426, November.
  39. Dai, Min & Jia, Yanwei & Kou, Steven, 2021. "The wisdom of the crowd and prediction markets," Journal of Econometrics, Elsevier, vol. 222(1), pages 561-578.
  40. Pankaj Pandey & Einar Snekkenes, 2016. "Using Financial Instruments to Transfer the Information Security Risks," Future Internet, MDPI, vol. 8(2), pages 1-62, May.
  41. Graefe, Andreas, 2019. "Accuracy of German federal election forecasts, 2013 & 2017," International Journal of Forecasting, Elsevier, vol. 35(3), pages 868-877.
  42. Robin Hanson, 2006. "Designing real terrorism futures," Public Choice, Springer, vol. 128(1), pages 257-274, July.
  43. Legge, Stefan & Schmid, Lukas, 2016. "Media attention and betting markets," European Economic Review, Elsevier, vol. 87(C), pages 304-333.
  44. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2016. "Using Social Media to Identify Market Ine!ciencies: Evidence from Twitter and Betfair," Working Papers 2016-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
  45. Dennis Halcoussis & Anton D. Lowenberg & G. Michael Phillips, 2024. "The COVID effect: an empirical analysis of the pandemic and the 2020 U.S. presidential election," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 48(4), pages 1130-1144, December.
  46. Mitchener, Kris James & Oosterlinck, Kim & Weidenmier, Marc D. & Haber, Stephen, 2015. "Victory or repudiation? Predicting winners in civil wars using international financial markets," Journal of Banking & Finance, Elsevier, vol. 60(C), pages 310-319.
  47. Makram El-Shagi, 2021. "Political Uncertainty: A High Frequency Approach," CFDS Discussion Paper Series 2021/03, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
  48. Beach, Brian & Hanlon, W. Walker, 2023. "Historical newspaper data: A researcher’s guide," Explorations in Economic History, Elsevier, vol. 90(C).
  49. Veiga, Helena & Vorsatz, Marc, 2008. "Aggregation and dissemination of information in experimental asset markets in the presence of a manipulator," DES - Working Papers. Statistics and Econometrics. WS ws084110, Universidad Carlos III de Madrid. Departamento de Estadística.
  50. Hans Gersbach & Markus Müller, 2011. "Information Markets, Elections and Contracts," CESifo Working Paper Series 3327, CESifo.
  51. Goodell, John W. & McGee, Richard J. & McGroarty, Frank, 2020. "Election uncertainty, economic policy uncertainty and financial market uncertainty: A prediction market analysis," Journal of Banking & Finance, Elsevier, vol. 110(C).
  52. Kevin A. Hassett & Jonathan S. Hartley, 2016. "Statistically measuring 2016 presidential candidate electability: Evidence from prediction markets," AEI Economics Working Papers 873197, American Enterprise Institute.
  53. Ferguson, Thomas & Jorgensen, Paul & Chen, Jie, 2022. "How money drives US congressional elections: Linear models of money and outcomes," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 527-545.
  54. John Fry & Andrew Brint, 2017. "Bubbles, Blind-Spots and Brexit," Risks, MDPI, vol. 5(3), pages 1-15, July.
  55. Almond, Douglas & Du, Xinming, 2020. "Later bedtimes predict President Trump’s performance," Economics Letters, Elsevier, vol. 197(C).
  56. Riekhof, Hans-Christian & Riekhof, Marie-Catherine & Brinkhoff, Stefan, 2012. "Predictive Markets: Ein vielversprechender Weg zur Verbesserung der Prognosequalität im Unternehmen?," PFH Forschungspapiere/Research Papers 2012/07, PFH Private University of Applied Sciences, Göttingen.
  57. Thomas Ferguson & Paul Jorgensen & Jie Chen, 2016. "How Money Drives US Congressional Elections," Working Papers Series 48, Institute for New Economic Thinking.
  58. Rothschild, David, 2015. "Combining forecasts for elections: Accurate, relevant, and timely," International Journal of Forecasting, Elsevier, vol. 31(3), pages 952-964.
  59. Kyle J. Kain & Trevon D. Logan, 2014. "Are Sports Betting Markets Prediction Markets?," Journal of Sports Economics, , vol. 15(1), pages 45-63, February.
  60. Hanson, Robin & Oprea, Ryan & Porter, David, 2006. "Information aggregation and manipulation in an experimental market," Journal of Economic Behavior & Organization, Elsevier, vol. 60(4), pages 449-459, August.
  61. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2018. "Forecasting With Social Media: Evidence From Tweets On Soccer Matches," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1748-1763, July.
  62. Leighton Vaughan Williams, 2015. "Forecasting the decisions of the US Supreme Court: lessons from the ‘affordable care act’ judgment," Journal of Prediction Markets, University of Buckingham Press, vol. 9(1), pages 64-78.
  63. David Paton & Donald S. Siegel & Leighton Vaughan Williams, 2009. "The Growth of Gambling and Prediction Markets: Economic and Financial Implications," Economica, London School of Economics and Political Science, vol. 76(302), pages 219-224, April.
  64. Smales, Lee A., 2015. "Better the devil you know: The influence of political incumbency on Australian financial market uncertainty," Research in International Business and Finance, Elsevier, vol. 33(C), pages 59-74.
  65. Valeria Croce & Karl Wöber & John Kester, 2016. "Expert identification and calibration for collective forecasting tasks," Tourism Economics, , vol. 22(5), pages 979-994, October.
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